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  • "Chingola Tankhouse" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was written about her experiences working as an Operational Research Analyst for Nchanga Consolidated Copper Mines in Zambia from 1975 to 1983. The poem was originally published in 1995 in Scottish literary publication West Coast Magazine. "Chingola Tankhouse" might be used in course discussions of the importance of controlling for important factors in observational studies in order to draw important conclusions.
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  • "The Art Of Numbers" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was originally published in the September 2011 issue of the bimonthly magazine Significance, in an article about Eveline Pye’s statistical poetry. "The Art Of Numbers" might be used in course discussions of the meaning of statistics.
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  • "The Empassioned Statistician" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was originally published in the June 2016 issue of the Bridges Poetry Anthology. "The Empassioned Statistician" was written to honor English social reformer and statistician Florence Nightingale, the first women granted membership in the Royal Statistical Society. May be used in classroom discussions of the importance of data in illuminating real world issues.

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  • "Scaffolding" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was originally published in the September 2011 issue of the bimonthly magazine Significance, in an article about Eveline Pye's statistical poetry. "Scaffolding" might be used in course discussions of the importance of checking assumptions in the application of statistical methods or of the value of statistical sleuthing in discovering hidden relationships.
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  • A short joke that might be used in discussing the common statistical model that observations follow different normal curves under different treatments. The joke was written by Lawrence Lesser from University of Texas at El Paso in 2016.
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  • "The Law of Statistics" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was originally published in the February 2016 issue of Talking Writing magazine. "The Law of Statistics" is about the case of Sally Clark, who was wrongly convicted in England of killing two of her children based on an error in "expert" testimony regarding the probability of two crib deaths in the same family. The poem might be used in course discussions about conditional probability and Bayes Theorem.
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  • "Psephologist" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was originally published in the April 2015 issue of the Herald. "Psephologist" is about the importance of polling in understanding public opinion. The poem might be used in course discussions about the affect that polls in the media might have on public opinion.
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  • "Solving Problems" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was originally published in the September 2011 issue of the bimonthly magazine Significance, in an article about Eveline Pye's statistical poetry. "Solving Problems" might be used in course discussions of the importance of practice with real world data in developing statistical thinking, reasoning, and problem solving skills.
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  • "Black Swan" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was originally published in the September 2011 issue of the bimonthly magazine Significance, in an article about Eveline Pye's statistical poetry. "Black Swan" might be used in course discussions of the idea that just because an event has not been observed to date does not mean that it is impossible (see Taleb's Black Swan Theory).
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  • "Numerical Landscape" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was originally published in the September 2011 issue of the bimonthly magazine Significance, in an article about Eveline Pye's statistical poetry. "Numerical Landscape" might be used in course discussions about probability models and the importance of recognizing the assumptions that underly them.
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